Evidence map›Paper›PMID 35042878›Full record

ArticleScientific reports2022

The impact of antimicrobial stewardship program designed to shorten antibiotics use on the incidence of resistant bacterial infections and mortality.

Ling-Ju Huang, Su-Jung Chen, Yu-Wen Hu, Chun-Yu Liu, Ping-Feng Wu, Shu-Mei Sun, Shih-Yi Lee, Yin-Yin Chen, Chung-Yuan Lee, Yu-Jiun Chan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Methicillin-ResistantMicroorganisms · 2026
    Review
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  9. Prevalence and antimicrobial susceptibility pattern of methicillin-resistantSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
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  11. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Ling-Ju HuangDivision of General Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Su-Jung ChenDivision of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, No. 201, Shi-Pai, Sec 2, Taipei, 11217, Taiwan, ROC.
Yu-Wen HuSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Chun-Yu LiuDepartment of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Ping-Feng WuDivision of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, No. 201, Shi-Pai, Sec 2, Taipei, 11217, Taiwan, ROC.
Shu-Mei SunDepartment of Infection Control, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Shih-Yi LeeDivision of Microbiology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yin-Yin ChenDepartment of Infection Control, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Chung-Yuan LeeDepartment of Information Management, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Yu-Jiun ChanInstitute of Public Health, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.
Yueh-Ching ChouDepartment of Pharmacy, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Fu-Der WangDivision of Infectious Diseases, Department of Medicine, Taipei Veterans General Hospital, No. 201, Shi-Pai, Sec 2, Taipei, 11217, Taiwan, ROC. fdwang@vghtpe.gov.tw.
Taipei Veterans General Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

Taipei Veterans General Hospital V105D-001-1Taipei Veterans General Hospital V105D-001-4
6 · The paper itself

Abstract

Reassessing the continuing need for and choice of antibiotics by using an antibiotic "time out'' program may reduce unnecessary treatment. This study aimed to explore the effect of an antibiotic stewardship program (ASP) on the antibiotics consumption, incidence of resistant bacterial infections and overall hospital mortality in a tertiary medical center during the study period 2012-2014. An ASP composed of multidisciplinary strategies including pre-prescription approval and post-approval feedback and audit, and a major "time out'' intervention (shorten the default antibiotic prescription duration) usage was introduced in year 2013. Consumption of antibiotics was quantified by calculating defined daily doses (DDDs). Interrupted time series (ITS) analysis was used to explore the changes of antibiotics consumption before and after intervention, accounting for temporal trends that may be unrelated to intervention. Our results showed that following the intervention, DDDs showed a decreased trend in overall (in particular the major consumed penicillins and cephalosporins), in both intensive care unit (ICU) and non-ICU, and in non-restrictive versus restrictive antibiotics. Importantly, ITS analysis showed a significantly slope change since intervention (slope change p value 0.007), whereas the incidence of carbapenem-resistant and vancomycin-resistant pathogens did not change significantly. Moreover, annual overall mortality rates were 3.0%, 3.1% and 3.1% from 2012 to 2014, respectively. This study indicates that implementing a multi-disciplinary strategy to shorten the default duration of antibiotic prescription can be an effective manner to reduce antibiotic consumption while not compromising resistant infection incidence or mortality rates.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipBacterial InfectionsDrug Resistance, BacterialFemaleHospital MortalityHumansIncidenceIntensive Care UnitsInterrupted Time Series AnalysisMaleTertiary Care CentersAnti-Bacterial Agents

Identifiers

PMID35042878
PMCPMC8766441
OpenAlexW4206597084

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.